Segmentation of synthetic-aperture Radar imagery of sea ice
Segmentation of synthetic-aperture Radar imagery of sea ice
复制标题
海冰合成孔径雷达图像的分割
DOI：
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发表时间：
1994
期刊：
影响因子：
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通讯作者：
W. Rees
中科院分区：
文献类型：
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作者：
A. Sephton;L. Brown;J. Macklin;K. Partington;N. Veck;W. Rees
本文介绍了一种用于合成孔径雷达（SAR）海冰图像的“分割”算法。地球观测数据中心科学队活动。分段海冰产品由不同的，南极洲均匀的冰和水的区域，可以确定各种attributes，如面积，质心位置，平均强度和标准差，形状，方向和纹理。这些属性对于提供一个模板很重要，可以从中得出诸如冰的类型、浓度和动态、冰缘的位置以及冰槽和冰穴的特征等信息。虽然该方法是为处理ERS-1数据而开发的，但在这项工作中使用模拟和从1978年Seasat活动中获得的合成孔径雷达海冰数据进行了演示，因为ERS-1数据在实施时尚未提供。
Abstract This paper describes a ‘segmentation’ algorithm, which has been designed for Synthetic-Aperture Radar (SAR) sea-ice images as part of the U.K. Earth Observation Data Centre (EODC) Science Team activity. The segmented sea-ice product consists of distinct, statistically-homogeneous regions of ice and water from which various atttributes can be determined, such as area, centroid position, mean intensity and standard deviation, shape, orientation and texture. Such attributes are important in providing a template from which it is possible to derive information such as ice type, concentration and dynamics, the position of the ice edge, and the characteristics of leads and polynyas. Although the method has been developed for processing ERS-1 data, it is demonstrated in this work using both simulations and SAR sea-ice data obtained from the Seasat campaign of 1978, as ERS-1 data were not yet available at the t ime of implementation.